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Dive into the research topics where Department of Data Science is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
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Profiles
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Robust tool wear prediction under novel operating conditions via physics-guided unsupervised domain adaptation
Kim, G., Yang, S. M., Jeon, S., Park, S., Choi, J. G., Park, H. W. & Lim, S., Jan 2026, In: Advanced Engineering Informatics. 69, 103883.Research output: Contribution to journal › Article › peer-review
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Supervised contrastive learning for multi-source domain generalization: Tool failure prediction in data-deficient cryogenic milling processes
Choi, J. G., Kim, D. C., Kim, D. M., Kim, G., Jeon, S., Lim, S. & Park, H. W., Feb 2026, In: Applied Soft Computing. 187, 114217.Research output: Contribution to journal › Article › peer-review
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Towards efficient data-driven fault diagnosis under low-budget scenarios via hybrid deep active learning
Kim, G., Choi, J. G., Jeon, S., Park, S. & Lim, S., Feb 2026, In: Reliability Engineering and System Safety. 266, 111637.Research output: Contribution to journal › Article › peer-review
1 Scopus citations